nn_device.m

基于BP模型的神经网络模型

function f = NN_device(neurones,dimension)


for i=1:neurones
    f.w(i,:) = 2*rand(1, dimension) - 1;
    f.b(i) = 2*rand(1) - 1; 
end    

f.regressors = neurones;
f.weights = rand(1,neurones + 1);
f.numparams = neurones*(dimension + 1) + neurones + 1;
f.name = 'Single hidden layer neural network';